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Fingerprint Matching Method Using Minutiae Clustering and Warping
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.57018th International Conference on Patt ...
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Dongjin Kwon, School of EIE, Hankuk Univ. of F. S., Yongin, 449-791, Korea
Il Dong Yun, School of EIE, Hankuk Univ. of F. S., Yongin, 449-791, Korea
Duck Hoon Kim, Institute for RIS, Univ. of Southern California, Los Angeles, CA 90089, USA
Sang Uk Lee, School of EIE, Hankuk Univ. of F. S., Yongin, 449-791, Korea
Solving non-linear distortion problems in fingerprint matching is important and still remains as a challenging topic. We have developed a new fingerprint matching method to deal with non-linear distortion problems efficiently by clustering locally matched minutiae and warping the fingerprint surface using minutiae clusters. Specifically, local invariant structures encoding the neighborhood information of each minutia are utilized in clustering the matched minutiae and then the fingerprint surface is warped to describe the deformation pattern properly. Finally, to make an additional increase in performance, the overlapped region of two fingerprints is considered in the score computation stage. Experimental results show that the proposed algorithm is performed best compared with other ones.
Citation:
Dongjin Kwon, Il Dong Yun, Duck Hoon Kim, Sang Uk Lee, "Fingerprint Matching Method Using Minutiae Clustering and Warping," icpr, vol. 4, pp.525-528, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
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